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Microsoft Azure Blog

Azure AI Health Bot helps create copilot experiences with healthcare safeguards 

With the Azure AI Health Bot infused with generative AI and healthcare safeguards, health organizations can build health data services, transform their medical professionals and patient experiences, discover new insights with the power of machine learning and AI, and manage protected health information (PHI) data with confidence.

Latest posts

Published • 3 min read

Microsoft’s Azure Cosmos DB is named a leader in the Forrester Wave: Big Data NoSQL 

By Product Manager and Architect, Azure Cosmos DB

We’re excited to announce that Forrester has named Microsoft as a Leader in The Forrester Wave™: Big Data NoSQL based on their evaluation of Azure Cosmos DB. Forrester’s findings validate the exceptional market momentum of Azure Cosmos DB and how happy our customers are with the product.

Published • 2 min read

Microsoft and NVIDIA bring GPU-accelerated machine learning to more developers 

By Principal Program Manager, Machine Learning Platform

With ever-increasing data volume and latency requirements, GPUs have become an indispensable tool for doing machine learning (ML) at scale. This week, we are excited to announce two integrations that Microsoft and NVIDIA have built together to unlock industry-leading GPU acceleration for more developers and data scientists.

Published • 4 min read

Reducing security alert fatigue using machine learning in Azure Sentinel 

By Principal Program Manager

Last week we launched Azure Sentinel, a cloud native SIEM tool. Machine learning (ML) in Azure Sentinel is built-in right from the beginning. We have thoughtfully designed the system with ML innovations aimed to make security analysts, security data scientists, and engineers productive.

Published • 5 min read

Securely monitoring your Azure Database for PostgreSQL Query Store 

By Principal Group Program Manager

A few months ago, I shared best practices for alerting on metrics with Azure Database for PostgreSQL. Though I was able to cover how to monitor certain key metrics on Azure Database for PostgreSQL, I did not cover how to monitor and alert on the performance of queries that your application is heavily relying on